Datasets:
File size: 2,724 Bytes
b784369 6dc981f b784369 6dc981f b784369 6dc981f b784369 6dc981f b784369 6dc981f b784369 6dc981f b784369 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
{
"data_card": {
"Generate Probing Sentences": {
"Date & Time": "2024-10-21T05:22:23.359426",
"Model Name": [
"gpt-4"
],
"Model Card": [
"https://cdn.openai.com/papers/gpt-4-system-card.pdf"
],
"License Information": [
"https://openai.com/policies"
],
"Citation Information": [
"@article{yu2023large,\n title={Large language model as attributed training data generator: A tale of diversity and bias},\n author={Yu, Yue and Zhuang, Yuchen and Zhang, Jieyu and Meng, Yu and Ratner, Alexander and Krishna, Ranjay and Shen, Jiaming and Zhang, Chao},\n journal={arXiv preprint arXiv:2306.15895},\n year={2023}\n}",
"@article{OpenAI2023GPT4TR,\n title={GPT-4 Technical Report},\n author={OpenAI},\n journal={ArXiv},\n year={2023},\n volume={abs/2303.08774},\n url={https://api.semanticscholar.org/CorpusID:257532815}\n}",
"@article{ouyang2022training,\n title={Training language models to follow instructions with human feedback},\n author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and others},\n journal={Advances in Neural Information Processing Systems},\n volume={35},\n pages={27730--27744},\n year={2022}\n}"
]
},
"Generate Probing Sentences (select_columns)": {
"Date & Time": "2024-10-21T06:29:01.561016"
},
"concat-probing-dataset": {
"Date & Time": "2024-10-21T06:29:01.851224"
},
"concat-probing-dataset (map)": {
"Date & Time": "2024-10-21T06:29:02.863720"
}
},
"__version__": "0.25.0",
"datetime": "2024-10-21T06:29:02.863957",
"type": "MapStep",
"name": "concat-probing-dataset (map)",
"version": 1.0,
"fingerprint": "6c5ebf9aedc1dc85",
"pickled": false,
"req_versions": {
"dill": "0.3.8",
"sqlitedict": "2.1.0",
"torch": "2.2.1",
"numpy": "1.26.4",
"transformers": "4.39.0",
"datasets": "2.18.0",
"huggingface_hub": "0.21.4",
"accelerate": "0.28.0",
"peft": "0.10.0",
"tiktoken": "0.6.0",
"tokenizers": "0.15.2",
"openai": "1.14.2",
"ctransformers": "0.2.27",
"optimum": "1.17.1",
"bitsandbytes": "0.42.0",
"litellm": "1.31.14",
"trl": "0.7.6",
"setfit": "1.0.3",
"boto3": "1.34.72"
},
"interpreter": "3.11.8 (main, Feb 26 2024, 15:36:12) [Clang 14.0.6 ]"
} |